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5 1.87 points A regression model to predict Y, the state burglary rate per 100,000 people, used the following four state predictors: X =

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5 1.87 points A regression model to predict Y, the state burglary rate per 100,000 people, used the following four state predictors: X = median age, X = number of bankruptcies per 1,000 population, X3 = federal expenditures per capita (a leading predictor), and X4 = high school graduation percentage. Click here for the Excel Data File (a) Using the sample size of 41 people, calculate the tcalc and p-value in the table given below. (Negative values should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required. Round your t-values to 3 decimal places and p- values to 4 decimal places.) eBook Hint Predictor Coefficient SE 'calc p-value Intercept 4,960.6913 790.6041 AgeMed -29.0360 12.9244 Bankrupt 15.3785 12.2669 FedSpend -0.0162 0.0150 HSGrad% -27.0511 7.1876 (b-1) What is the critical value of Student's t in Appendix D for a two-tailed test at a = .01? (Round your answer to 3 decimal places.) t-value = (b-2) Choose the correct option. Only Bankrupt differs significantly from zero. Only HSGrad% differs significantly from zero. Only FedSpend differs significantly from zero.

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